Imagine you want to buy something. You visit an e-commerce website and use the search option to find what you want. Maybe you have multiple items to buy, so the process isn’t very efficient. Now…

Towards Data Science is a community-powered publication that showcases work in data science, machine learning and artificial intelligence. Every day newcomers, seasoned researchers and industry practitioners publish tutorials, research notes and real-world case studies that help the field move forward.

Towards Data Science

This guide illustrates how to build an AI agent using Meta's Llama 3 model with function-calling capabilities. The setup involves creating an embedding model, a retriever, and tools for handling user purchase interests and cost concerns. Key components include loading and indexing data, building a user query analyzer, creating an RAG pipeline, and finalizing tool functions. Testing and integrating these components into a chat application using Gradio is also covered.

Using Llama 3 for Building AI Agents

Comprehensive guide to building AI Agents with Llama 3 function calling capabilities.